High-dimensional multimedia classification using deep CNN and extended residual units
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6146-7
Abstract: Processing multimedia data has emerged as a key area for the application of machine learning methods Building a robust classification model to use in high dimensional space requires the combination of a deep feature extractor… read more here.
Keywords: high dimensional; classification; dimensional multimedia; network ... See more keywords
Deep CNN Based Lmser and Strengths of Two Built-In Dualities
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10341-5
Abstract: Least mean square error reconstruction for the self-organizing network (Lmser) was proposed in 1991, featured by a bidirectional architecture with several built-in natures. In this paper, we developed Lmser into CNN based Lmser (CLmser), highlighted… read more here.
Keywords: strengths two; lmser strengths; based lmser; deep cnn ... See more keywords
Toward a generalizable deep CNN for neural drive estimation across muscles and participants
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acae0b
Abstract: Objective. High-density electromyography (HD-EMG) decomposition algorithms are used to identify individual motor unit (MU) spike trains, which collectively constitute the neural code of movements, to predict motor intent. This approach has advanced from offline to… read more here.
Keywords: emg signals; neural drive; drive estimation; cnn ... See more keywords
Deep RP-CNN for Burst Signal Detection in Cognitive Radios
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DOI: 10.1109/access.2020.3023262
Abstract: This article proposes a convolutional neural network (CNN)-based signal detection scheme using image encoding techniques for burst signals in wireless networks. The conventional signal detection approach based on energy measurement performs poorly when detecting burst… read more here.
Keywords: signal detection; proposed scheme; deep cnn; burst signal ... See more keywords
A Heteromorphous Deep CNN Framework for Medical Image Segmentation Using Local Binary Pattern
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183331
Abstract: Estimating mitotic nuclei in breast cancer samples can aid in determining the tumor’s aggressiveness and grading system. Because of their strong resemblance to non-mitotic nuclei and heteromorphic form, automated evaluation of mitotic nuclei is difficult.… read more here.
Keywords: mitotic nuclei; cnn framework; cnn; heteromorphous deep ... See more keywords
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.2973913
Abstract: An automatic tool, targeting low-cost, low-power, point-of-care embedded system, is proposed for fluorescence diagnostic imaging. This allows for a quick and accurate diagnosis even when used by nonexpert operators. To achieve this goal, an embedded… read more here.
Keywords: diagnosis; deep cnn; point care; point ... See more keywords
Deep CNN-Based Planthopper Classification Using a High-Density Image Dataset
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13061155
Abstract: Rice serves as the primary food source for nearly half of the global population, with Asia accounting for approximately 90% of rice production worldwide. However, rice farming faces significant losses due to pest attacks. To… read more here.
Keywords: high density; deep cnn; density image; image dataset ... See more keywords